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def main(filename): f = open(filename) lines = f.readlines() f.close() outlines = [] NORTH, WEST, EAST, SOUTH = 0, 1, 2, 3 T = int(lines.pop(0)) def get_neighbours(arr, row, col): neighbours = [] if row > 0: neighbours.append((NORTH, arr[row - 1][co...
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# -*- coding: utf-8 -*- from __future__ import division import math a=int(input('digite o valor de a:')) b=int(input('digite o valor de b:')) c=int(input('digite o valor de c':)) d=int(input('digite o valor de d:')) if ABAD==5393 and CBCD==6268: PRINT('VERDADEIRO') ELSE: print('FALSA')
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import numpy from sympy import Symbol, pprint, simplify import sympy as sp def get_series(var, expr, num_terms=10): series = sp.series(expr, var, n=num_terms) pprint(simplify(series)) x = Symbol("x") expr = sp.ln(1 - 8*x**2) # expr = sp.cos(x) # expr = sp.atan(x**3) # expr = sp.ln(sp.sec(x)) get_series(x, e...
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""" Create a function that takes a list and returns the **difference** between the biggest and smallest numbers. ### Examples difference_max_min([10, 4, 1, 4, -10, -50, 32, 21]) ➞ 82 # Smallest number is -50, biggest is 32. difference_max_min([44, 32, 86, 19]) ➞ 67 # Smallest number is 19, big...
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from scrapy import cmdline cmdline.execute('scrapy runspider ./TMview/spiders/tm_view.py'.split())
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#!/usr/bin/python # -*- coding: utf-8 -*- # # Licensed under the GNU General Public License, version 2. # See the file http://www.gnu.org/licenses/old-licenses/gpl-2.0.txt. from pisi.actionsapi import autotools from pisi.actionsapi import pisitools def setup(): autotools.configure("--disable-static") def build()...
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from .environnement import Local_env from .environnement import Live_env from .worker import Local_Worker from .worker import Live_Worker from .session import Local_session from .session import Live_session
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from middleware import * makeThreading(urllist=getUrl(223),school='University of Bolton')
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"""mengenalMysqlXampp URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/2.2/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: path('', views.home, name='home') ...
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# mako/codegen.py # Copyright (C) 2006-2012 the Mako authors and contributors <see AUTHORS file> # # This module is part of Mako and is released under # the MIT License: http://www.opensource.org/licenses/mit-license.php """provides functionality for rendering a parsetree constructing into module source code.""" impo...
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class Solution(object): def searchInsert(self, nums, target): """ :type nums: List[int] :type target: int :rtype: int """ import bisect return bisect.bisect_left(nums, target) if __name__ == '__main__': # print(Solution().searchInsert([1, 3, 5, 6], 0)) ...
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""" Copyright (c) 2020 COTOBA DESIGN, Inc. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distri...
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# importing the neccessary libraries # open cv for image processing import cv2 # used to manipulate different parts import sys # used for manipulating array/matrics import numpy as np # used for accessing the file and folder in the machine import os # used for landmark's facial detector with pre-t...
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import sys from string import ascii_lowercase as alphabets from collections import Counter def main(): inf=100 alphd={x:0 for x in alphabets} ansd={x:inf for x in alphabets} n=int(input()) s=[input() for _ in range(n)] for st in s: for x in st: alphd[x]+=1 for a in a...
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# Copyright 2016 Google Inc. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
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n = int(input()) a_lst = list(map(int, input().split())) x = a_lst[0] y = sum(a_lst[1:]) diff = abs(y - x) for a in a_lst[1:-1]: x += a y -= a diff = min(diff, abs(y - x)) print(diff)
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############################################################################################################################################################################################################# ##################################################################################################################...
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def solution(msg): answer = [] lzw_dict = dict() word = "A" for i in range(1, 27) : lzw_dict[word] = i word = chr(ord("A") + i ) m_index = 0 w = msg[0] while m_index < len(msg): if m_index + 1 < len(msg) : temp = w + msg[m_index + 1] else : ...
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from typing import List import ghidra.pcode.memstate import ghidra.program.model.address import java.lang class UniqueMemoryBank(ghidra.pcode.memstate.MemoryBank): """ An subclass of MemoryBank intended for modeling the "unique" memory space. The space is byte-addressable and paging is not supported. ...
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# ext/mutable.py # Copyright (C) 2005-2013 the SQLAlchemy authors and contributors <see AUTHORS file> # # This module is part of SQLAlchemy and is released under # the MIT License: http://www.opensource.org/licenses/mit-license.php """Provide support for tracking of in-place changes to scalar values, which are propaga...
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# 二叉搜索树,取个英文名字方便调包 class BiTreeNode: def __init__(self, data): self.data = data self.lchild = None # 左孩子节点 self.rchild = None # 右孩子节点 self.parent = None class BST: def __init__(self, li=None): self.r...
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""" BIMData API BIMData API is a tool to interact with your models stored on BIMData’s servers. Through the API, you can manage your projects, the clouds, upload your IFC files and manage them through endpoints. # noqa: E501 The version of the OpenAPI document: v1 (v1) Contact: support@bimdata.io...
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from __future__ import print_function import PILasOPENCV as Image import PILasOPENCV as ImageDraw import PILasOPENCV as ImageFont import cv2 # font = ImageFont.truetype("arial.ttf", 30) size = 20 font = ImageFont.truetype("msgothic.ttc", 22+int(size/50), index=0, encoding="unic") print(font) im = Image.new("...
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# -*- coding: utf-8 -* import numpy as np import os import math import matplotlib.pyplot as plt import matplotlib.image as mpimg from scipy import misc SAMPLE_NUM = 10 CLASS_NUM = 40 IMG_SHAPE = (112, 92) scale = 0.5 k = 8 principal_percent = 0.8 def load_faceimg(path_dir, shrink_rate=0.5, train_...
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#!/usr/bin/env python """Django's command-line utility for administrative tasks.""" import os import sys def main(): os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'u_app_20291.settings') try: from django.core.management import execute_from_command_line except ImportError as exc: raise Im...
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class Solution(object): def findMaxAverage(self, nums, k): """ :type nums: List[int] :type k: int :rtype: float """ tmp_sum = sum(nums[:4]) i = 0 ans = tmp_sum for j in range(k, len(nums)): tmp_sum = tmp_sum - nums[i] + nums[j] ...
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from unittest import TestCase from chatterbot.adapters.storage import JsonDatabaseAdapter from chatterbot.conversation import Statement, Response class JsonAdapterTestCase(TestCase): def setUp(self): """ Instantiate the adapter. """ from random import randint # Generate a...
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import datetime from dateutil.parser import parse def date_range(first_day=datetime.datetime(2021, 1, 11, 8, 30), last_day=datetime.datetime(2021, 5, 7, 8, 30)): delta = last_day - first_day return list(reversed([last_day - datetime.timedelta(days=x) for x in range(delta.days + 1)])) def session_range(dates, ...
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# -*- coding: utf-8 -*- # Generated by Django 1.11 on 2018-12-04 09:42 from __future__ import unicode_literals import datetime from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('user_operation', '0003_auto_20181117_1121'), ] operations = [ ...
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from xai.brain.wordbase.verbs._blitz import _BLITZ #calss header class _BLITZES(_BLITZ, ): def __init__(self,): _BLITZ.__init__(self) self.name = "BLITZES" self.specie = 'verbs' self.basic = "blitz" self.jsondata = {}
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# !/usr/bin/env python # -*- coding: utf-8 -*- # vispy: testskip # ----------------------------------------------------------------------------- # 2016, Scott Paine # Distributed under the terms of the new BSD License. # ----------------------------------------------------------------------------- """ ********** Wiggl...
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# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.contrib import admin from book.models import Category, Book, Comment class CategoryAdmin(admin.ModelAdmin): list_display = ('name', ) class BookAdmin(admin.ModelAdmin): list_display = ('category', 'title', 'author', 'price', 'sco...
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import sys sys.stdin = open('input1.txt','r') T=int(input()) for i in range(0, T): day = int(input()) dayprice = list(map(int, input().split())) maxprice = dayprice[len(dayprice)-1] benefit = 0 buy = 0 for j in range(day-2, -1, -1): if dayprice[j] < maxprice: benefit += max...
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# this line will show some book samples in NLTK. from nltk.book import * ## concordance # print('Sense and Sensibility by Jane Austen 1811') # print(text2.concordance('affection')) # print('text5: Chat Corpus') print(text5.concordance('lol')) ## similarity # print(text1.similar('monstrous')) ## common contexts # pr...
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with open("input.txt", "r") as f, open("output.txt", "w") as q: n, m, k = (int(x) for x in f.read().split()) q.write("1" if n >= m else "NO" if n <= k else str((m - n - 1) // (n - k) + 2))
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from django import template from kontrasto import wcag_2, wcag_3 register = template.Library() @register.filter(name="dominant_color") def dominant_color(image): return image.get_dominant_color() @register.filter(name="wcag_2_contrast") def wcag_2_contrast(image, text_color: str) -> str: return wcag_2.wca...
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# 2016.11.19 19:51:28 Střední Evropa (běžný čas) # Embedded file name: scripts/client/gui/Scaleform/daapi/view/meta/PremiumWindowMeta.py from gui.Scaleform.daapi.view.meta.SimpleWindowMeta import SimpleWindowMeta class PremiumWindowMeta(SimpleWindowMeta): """ DO NOT MODIFY! Generated with yaml. __autho...
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# Copyright 2021 Hakan Kjellerstrand hakank@gmail.com # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law ...
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# Copyright (c) Microsoft Corporation. # SPDX-License-Identifier: Apache-2.0 # DeepSpeed Team import torch from torch.nn import functional as F from deepspeed.ops.sparse_attention import BertSparseSelfAttention, SparsityConfig ''' This file contains few utility functions to handle adapting pretrained model with spars...
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import numpy as np from apal import Khachaturyan import matplotlib as mpl mpl.rcParams.update({'font.size': 18, 'axes.unicode_minus': False, 'svg.fonttype': 'none'}) from matplotlib import pyplot as plt C_al = np.array([[0.62639459, 0.41086487, 0.41086487, 0, 0, 0], [0.41086487, 0.62639459, 0.41086487...
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#! /usr/bin/env python # -*- coding: utf-8 -*- # vim: set ts=4 sts=4 sw=4 et: ## @brief 根据条件检索function。current_page:最大100页 page_size:10-30 # @author wuliang@maimiaotech.com # @date 2013-09-22 16:52:39 # @version: 0.0.0 import os import sys import time def __getCurrentPath(): return os.path.normpath(os.path.jo...
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""" Tests dtype specification during parsing for all of the parsers defined in parsers.py """ from collections import defaultdict from io import StringIO import numpy as np import pytest from pandas.errors import ParserWarning import pandas as pd from pandas import ( DataFrame, Timestamp, ) import pandas._te...
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import json import logging from flask import request from werkzeug.exceptions import abort from ooi_instrument_agent.client import ZmqDriverClient DEFAULT_TIMEOUT = 90000 log = logging.getLogger(__name__) def get_client(consul, driver_id): """ Create a ZmqDriverClient for the specified driver_id :param...
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import parseLEMscores_yeast_mouse as PLS import parseLEMscores_malaria_20hr as PLS20 from networkbuilder_yeast_mouse import createNetworkFile import time def parseLEMfile(bound=0,fname='/Users/bcummins/ProjectData/malaria/wrair2015_v2_fpkm-p1_s19_40hr_highest_ranked_genes/wrair2015_v2_fpkm-p1_s19_90tfs_top25_dljtk_le...
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#!/usr/bin/env python # -*- coding: utf-8 -*- ''' Created on 2019年5月17日 @author: Administrator ''' from sklearn.feature_extraction.text import CountVectorizer import os import codecs from sklearn.linear_model import LogisticRegression from sklearn.metrics import accuracy_score from sklearn.model_selection import train...
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import numpy as np a = np.arange(10,30).reshape(4,5) #exercise 1 table yellow = a[0,0] green = a[:3, 2] teal = a[:, (1,3)] blue = a[::2, 4] red = a[0, 1:4] #print('yellow= ', yellow, 'green= ', green, 'blue= ', blue, 'teal=', teal, 'red=', red) #exercise 2 cube: c = np.arange(0, 27).reshape((3, 3, 3)) # = (z, y, ...
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#!/usr/bin/python # # Copyright 2021 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
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""" 夜间施工查询 URL: http://www.cdcc.gov.cn/QualitySafeShow/NightWorkList.aspx """ import re import time import random import requests import lxml.html import mysql.connector from urllib.parse import urlencode class NightWorkSpider(object): USER_AGENTS = [ "Mozilla/5.0 (Windows NT 6.1; WOW64; rv:43.0) Gecko/20...
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"""Manage users app""" from django.apps import AppConfig class UserConfig(AppConfig): name = 'users'
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from collections import defaultdict import numpy as np import tree # pip install dm_tree from typing import Dict from ray.rllib.utils.annotations import DeveloperAPI from ray.rllib.policy.sample_batch import DEFAULT_POLICY_ID from ray.rllib.utils.typing import PolicyID # Instant metrics (keys for metrics.info). LEAR...
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import copy from environmentv0 import Environment from keras.models import clone_model from keras.models import Sequential from keras.layers import Dense from keras.optimizers import Adam import matplotlib.pyplot as plt plt.style.use('seaborn-muted') import numpy as np import progressbar import time import util np.rand...
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#!/usr/bin/env python import gmpy,math import sys f=sys.stdin n=int(f.next()) class Case(object): def __init__(self): self.res = "IMPOSSIBLE" N,M,A = map(int,f.next().split()) if N*M < A: return for xb in range(N+1): for yb in range(M+1): for...
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# 5690. Closest Dessert Cost # You would like to make dessert and are preparing to buy the ingredients. You have n ice cream base flavors and m types of toppings to choose from. You must follow these rules when making your dessert: # There must be exactly one ice cream base. # You can add one or more types of...
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def load_scanners(): layers = {} layer = 0 with open('input.txt') as f: for line in f: data = [int(i) for i in line.split(': ')] while layer != data[0]: layers[layer] = {'s': -1, 'd': -1, 'dir': None} layer += 1 layers[data[0]] = {'...
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class Solution(object): def removeDuplicates(self, S): """ :type S: str :rtype: str """ sta=[] for i in S: if sta and sta[-1]==i: sta.pop() else: sta.append(i) return ''.join(sta)
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# !/usr/bin/env python # -*- coding: utf-8 -*- # 生成一个随机的8位密码,要求4个字母和4个数字 import random import string spam_num = random.choices("0123456789", k=4) print(spam_num) spam_letters = random.sample(string.ascii_letters, 4) print(spam_letters) spam = spam_num+spam_letters print(spam) spam_num_letters = random.shuffle(spam) ...
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#!/opt/applic/epd/bin/python import sys, re, string, getopt, optparse, math, time from os import popen option = ""; args = ""; bgf_file = ""; mod_file = ""; out_file = "" usage = """ Usage: mergeBGF.py -b bgf1_file -c bgf2_file -o out_file """ options, args = getopt.getopt(sys.argv[1:], 'hb:c:o:', ['help','bgf1=','b...
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#!/usr/bin/env python3 from pymongo import MongoClient from pprint import pprint client = MongoClient("mongodb://34.224.70.221:8080") db=client.admin serverStatusResult=db.command("serverStatus") pprint(serverStatusResult)
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class Solution: def subtractProductAndSum(self, n: int) -> int: numList=list(str(n)) sum=0 product=1 for item in range(len(numList)): numList[item]=int(numList[item]) sum+=numList[item] product*=numList[item] result=product-sum ret...
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import argparse import cv2 from glob import glob from tqdm import tqdm import numpy as np import os import torch, torchvision import torch.nn as nn from torchvision import models, transforms import json import csv # Number of classes in the dataset img_size = 224 class GlobalAvgPool2d(nn.Module): def forward (sel...
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''' Created on Jun 18, 2013 @author: Yubin Bai All rights reserved. ''' import time from multiprocessing.pool import Pool parallelSolve = False INF = 1 << 30 def solve(par): r1 = '`1234567890-' + 'qwertyuiop[' + 'asdfghjhkl' + 'zxcvbnm,.' r2 = '1234567890-=' + 'wertyuiop[]' + 'sdfghjhkl;' + 'xcvbnm,./' ...
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# Generated by Django 3.1.7 on 2021-05-10 10:25 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('question', '0004_question_titre'), ] operations = [ migrations.AlterField( model_name='question', name='prop', ...
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class sha1: '' def digest(): pass def update(): pass class sha256: '' def digest(): pass def update(): pass
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import flask import wtforms as wtf from . import forms, models from . import app, db @app.route('/', methods=['GET', 'POST']) def index(): form = forms.SearchNameOrNumber() return flask.render_template('index.html', form=form) @app.route('/add-input', methods=['GET', 'POST']) def add_input(): form = for...
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# -*- encoding: utf-8 -*- ############################################################################## # # OpenERP, Open Source Management Solution # Copyright (C) 2004-2012 OpenERP SA (<http://openerp.com>) # # This program is free software: you can redistribute it and/or modify # it under the terms of t...
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# Generated by Django 2.2.8 on 2020-02-24 16:22 from django.db import migrations def populate_archived_reason(apps, schema_editor): BarrierInstance = apps.get_model("barriers", "BarrierInstance") BarrierInstance.objects.filter( archived=True, archived_reason__isnull=True, ).update(archive...
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""" Django settings for makewiki project. Generated by 'django-admin startproject' using Django 2.2.7. For more information on this file, see https://docs.djangoproject.com/en/2.2/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/2.2/ref/settings/ """ import os ...
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class Solution: def pivotIndex(self, nums: List[int]) -> int: right_sum = sum(nums) left_sum = 0 prev = 0 for i in range(len(nums)) : left_sum += prev prev = nums[i] right_sum -= nums[i] if left_sum == right_sum : return...
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# iterar é passar por cada um dos elementos de uma string # se tem índice é iterável frase = 'o rato roeu a roupa do rei de roma' tamanho_frase = len(frase) contador = 0 nova_string = '' while contador < tamanho_frase: letra = frase[contador] if letra == 'r': nova_string += 'R' else: nova_...
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"""Program to analyse student marks from source file and determine which students are advised to consult an advisor. Kemeshan Naicker 11 May 2014""" #Prompt user for name of source file. file = input("Enter the marks filename:\n") #Open file for processing txtfile = open(file, "r") #Read file into a str...
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# coding=utf-8 """ @ license: Apache Licence @ github: invoker4zoo @ author: invoker/cc @ wechat: whatshowlove @ software: PyCharm @ file: neural_style @ time: 18-4-10 """ import tensorflow as tf import reader import _reader from preprocessing import preprocessing_factory from nets import nets_factory import losses im...
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from keras.datasets import cifar10 from keras.preprocessing.image import ImageDataGenerator from keras.models import Sequential from keras.layers.core import Dense, Dropout, Activation, Flatten from keras.layers.convolutional import Convolution2D, MaxPooling2D from keras.optimizers import SGD, Adadelta, Adagrad from ke...
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import os from src.model import model def clear_temp(): for i in range(1, 4): folder_name = 'result_' + str(i) file_list = [f for f in os.listdir("static/temp/" + folder_name + '/') if f.endswith(".png")] for f in file_list: os.remove("static/temp/" + folder_name + '/'...
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""" Functions to query the causes of death database and format and process all of the CODEm input data. Needs helper functions from the demographics, shared, and covariates modules. """ import pandas as pd import numpy as np import sqlalchemy as sql import logging import pymysql import re import codem.data.queryStrin...
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import os import mimetypes import zipfile from dateutil.tz import * from . import iron_core try: import json except ImportError: import simplejson as json def file_exists(file): """Check if a file exists.""" if not os.path.exists(file): return False try: open(file) except IOErr...
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"""p41 URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/3.0/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: path('', views.home, name='home') Class-based vie...
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import numpy as np from . import describe from . import _relabel def relabel_data(d, mapping, copy=True): """ Relabel data according to a mapping dict. Modify the entries of :param:d according to a :param:mapping dictionary. If a value within :param:d doesn't match a key for :param:mapping, leav...
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import RPi.GPIO as GPIO import time def relay(i=0): # 设置针脚模式为(BOARD) GPIO.setmode(GPIO.BOARD) # 禁用警告 GPIO.setwarnings(False) # 设置针脚 PIN = 40 # 设置针脚为输出模式 GPIO.setup(PIN, GPIO.OUT) # 设置开关(0/1),0表示关,1表示开。 INT = i # 开(闭合) if INT == 1: GPIO.output(PIN, GPIO.HIGH) #...
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# Time: O(n) # Space: O(h) class TreeNode(object): def __init__(self, x): self.val = x self.left = None self.right = None class Solution(object): # @param root, a tree node # @return a list of integers def rightSideView(self, root): result = [] ...
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# -*- coding:utf-8 -*- from functools import wraps class MiddlewareApplicator(object): def __init__(self, fns): self.middlewares = [middlewarefy(fn) for fn in fns] def register(self, fn): self.middlewares.append(middlewarefy(fn)) def __call__(self, fn): def call(*args, **kwargs):...
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# -*- coding: utf-8 -*- """ Created on Wed Nov 4 19:31:24 2020 @author: eiahb """ import sys from multiprocessing import Pool import time def main(): # 读入每行input for line in sys.stdin: aRecord = line.split(",") stockTimeStamp = "{}_{}".format(aRecord[0], aRecord[1][:12]) ...
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from pippi import dsp from pippi import tune from hcj import fx midi = {'pc': 3} def play(ctl): param = ctl.get('param') lpd = ctl.get('midi').get('pc') lpd.setOffset(111) key = 'g' #bd = dsp.read('/home/hecanjog/sounds/drums/Tinyrim2.wav').data #bd = dsp.read('/home/hecanjog/sounds/drums/...
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# Write your large_power function here: def large_power(base, exponent): if base**exponent > 5000: return True else: return False # Uncomment these function calls to test your large_power function: print(large_power(2, 13)) # should print True print(large_power(2, 12)) # should print False
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from django.db import models # Create your models here. class Buy(models.Model): name = models.TextField(default='') brg = models.TextField(default='') jmlh = models.TextField(default='') price = models.TextField(default='')
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from __future__ import absolute_import, division, print_function import numpy as np import tensorflow.compat.v2 as tf from tensorflow_probability.python.bijectors import exp as exp_bijector from tensorflow_probability.python.distributions import ( NegativeBinomial, Normal, QuantizedDistribution, TransformedDistrib...
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from pyquant.marketdata.marketdata import MarketDataType from pyquant.marketdata.single import MarketDataSingle class MarketDataSpot(MarketDataSingle): def __init__(self): super(MarketDataSpot, self).__init__() print MarketDataSpot().data_type print MarketDataSpot().value if __name__ == '__main__': ...
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def cents_to_dollars(cents): """ Convert cents to dollars. :param cents: Amount in cents :type cents: int :return: float """ return round(cents / 100.0, 2) def dollars_to_cents(dollars): """ Convert dollars to cents. :param dollars: Amount in dollars :type dollars: float ...
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# -*- coding: utf-8 -*- """Unit test package for python_ipify."""
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